Trustworthiness possesses numerous design challenges for the researchers and scientists in the global era of internet of things. The solution to deal with these challenges lies in trust management mechanisms (TMM). The integration of TMM on the Internet of things (IoT) adds a higher level of security and reliability for the resource utilization and management. On the other hand, the efficient and optimal implementation of TMM in IoT network requires significant efforts and innovations. In this paper, an innovative edge based trustworthy framework (EBTF) using novel cooperative centrality-based system (NCCBS) has been proposed and implemented for IoT networks. Trustworthiness has been computed using factors like direct trust, recommendation, global trust, and centralities. The NCCBS has been compared with existing mechanism namely: Distributive Reputation Management (DRM), Personalized Similarity Measure (PSM), and Reliable Trust Computation Mechanism (RTCM). The NCCBS outperformed the existing approaches with the adoption of dynamic weight computation scheme. The performance of IoT networks has been evaluated on parameters like recommendation weight, trust index, interaction success rate and malicious behaviour analysis. Simulations have been carried out to evaluate and validate the proposed NCCBS and it depicts optimal performance with reference to the existing schemes.

中文翻译：

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合作中心性使得对基于边缘的可信框架的研究成为可能，以云为中心的物联网

在全球物联网时代，可信度对研究人员和科学家来说面临着众多的设计挑战。应对这些挑战的解决方案在于信任管理机制（TMM）。 TMM与物联网（IoT）的集成为资源利用和管理增加了更高水平的安全性和可靠性。另一方面，TMM在物联网网络中的高效、优化实施需要大量的努力和创新。本文提出了一种创新的基于边缘的可信框架（EBTF），该框架使用新颖的基于协作中心性的系统（NCCBS），并针对物联网网络进行了实施。可信度是使用直接信任、推荐、全局信任和中心性等因素来计算的。 NCCBS 与现有机制进行了比较，即：分布式声誉管理（DRM）、个性化相似性度量（PSM）和可靠信任计算机制（RTCM）。 NCCBS 采用动态权重计算方案，性能优于现有方法。物联网网络的性能通过推荐权重、信任指数、交互成功率和恶意行为分析​​等参数进行评估。已经进行了模拟来评估和验证所提出的 NCCBS，并参考现有方案描述了最佳性能。